{"repo":"aganse/docker_mlflow_db","free":true,"listed":false,"github":"https://github.com/aganse/docker_mlflow_db","clone":"git clone https://github.com/aganse/docker_mlflow_db.git","description":"A ready-to-run Docker container setup to quickly provide MLflow as a service, with PostgreSQL, AWS S3, and NGINX","language":"Makefile","stars":32,"topics":["docker","docker-compose","mlflow","postgresql","nginx"],"license":"MIT","category":"deployment-docker-iac","readme_excerpt":"docker mlflow db A ready-to-run Docker container setup to quickly provide MLflow as a service, with optional database backend, optional storage of artifacts in AWS S3, and a reverse proxy frontend which could allow one to easily implement basic or secure authentication. :bulb: Note this repo is part of a trio that you might find useful together (but all are separate tools that can be used independently): aganse/docker mlflow db: ready-to-run MLflow server with PostgreSQL, AWS S3, Nginx aganse/py tf2 gpu dock mlflow: ready-to-run Python/Tensorflow2/MLflow setup to train models on GPU aganse/vim mlflow: a Vim plugin to browse the MLflow parameters and metrics instead of GUI   Summary The main use-case options available in this MLflow implementation are: store the core MLflow info in a new separate standalone database instance, or in a pre-existing database instance elsewhere (including perhaps AWS RDS). Note a PostgreSQL database is assumed in this repo's setup, although altering to some other database would be a minimal change (mainly in the password file handling) store the run artifact files (like model and graphic/plot files) in the local local filesystem, in a docker volume, or in an S3 bucket, the default setup in this repo serves MLflow with its own database instance, and both database data and artifact files stored in their own docker volumes. There are several docker-compose.yaml files in the compose variations subdirectory, any of which can be used in lieu of the","default_branch":null,"files":null,"tree":[],"storefront":"/r/aganse","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/aganse/docker_mlflow_db/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}